Clinical and molecular prognostic nomograms for patients with papillary renal cell carcinoma.

ABSTRACT:

Objective

To summarize the clinicopathological characteristics and prognostic factors of papillary renal cell carcinoma (pRCC) and to construct clinical and molecular prognostic nomograms using existing databases.

Methods

Clinical prognostic models were developed using the Surveillance, Epidemiology, and End Results (SEER) database, while molecular prognostic models were constructed using The Cancer Genome Atlas (TCGA) database. Cox regression and LASSO regression were employed to identify clinicopathological features and molecular markers related to prognosis. The accuracy of the prognostic models was assessed using ROC curves, C-index, decision curve analysis (DCA) curves, and calibration plots.

Results

In the 2004-2015 SEER cohort, Cox regression analysis revealed

SUBMITTER: Wang X 

PROVIDER: S-EPMC11655765 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature